David L. Wild

发表

Biomarker discovery in microarray gene expression data with Gaussian processes

Wei Chu, Zoubin Ghahramani, Francesco Falciani, 2005, Bioinform..

A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series

Zoubin Ghahramani, Oliver Stegle, Karsten M. Borgwardt, 2009, RECOMB.

Inferring Knowledge Based Potentials Using Contrastive Divergence

David L. Wild, Alexei A. Podtelezhnikov, 2012 .

The Status of Structural Genomics Defined Through the Analysis of Current Targets and Structures

Tong Liu, Li Chen, Philip E. Bourne, 2003, Pacific Symposium on Biocomputing.

Inferring orthologous gene regulatory networks using interspecies data fusion

Christopher A. Penfold, David L. Wild, Jonathan B. A. Millar, 2015, Bioinform..

Improving protein-protein interaction prediction using evolutionary information from low-quality MSAs

David L. Wild, Csilla Várnai, Nikolas S. Burkoff, 2017, PloS one.

Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models

Carl E. Rasmussen, Zoubin Ghahramani, David L. Wild, 2003, Pacific Symposium on Biocomputing.

A Bayesian network model for protein fold and remote homologue recognition

Zoubin Ghahramani, David L. Wild, A. Raval, 2002, Bioinform..

Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model

Wei Chu, Zoubin Ghahramani, David L. Wild, 2005, Pacific Symposium on Biocomputing.

Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models

Wei Chu, Zoubin Ghahramani, David L. Wild, 2004, ESANN.

R/BHC: fast Bayesian hierarchical clustering for microarray data

Yang Xu, Katherine A. Heller, Zoubin Ghahramani, 2009, BMC Bioinformatics.

A Bayesian network approach to protein fold recognition

Zoubin Ghahramani, David L. Wild, Zoubin Ghahramani, 1998 .

Predicting protein β-sheet contacts using a maximum entropy-based correlated mutation measure

David L. Wild, Csilla Várnai, Nikolas S. Burkoff, 2013, Bioinform..

Classical and Bayesian approaches to reconstructing genetic regulatory networks

Zoubin Ghahramani, Matthew J. Beal, Francesco Falciani, 2004 .

Nonparametric Bayesian inference for perturbed and orthologous gene regulatory networks

Christopher A. Penfold, David L. Wild, Katherine J. Denby, 2012, Bioinform..

ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification

Jim E. Griffin, David L. Wild, Nathan Cunningham, 2020, Adv. Data Anal. Classif..

Bayesian segmental models with multiple sequence alignment profiles for protein secondary structure and contact map prediction

Wei Chu, Zoubin Ghahramani, David L. Wild, 2006, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series

Zoubin Ghahramani, Oliver Stegle, Karsten M. Borgwardt, 2009, RECOMB.

Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series

Zoubin Ghahramani, Andrew Meade, Oliver Stegle, 2009, GCB.

CRANKITE: A fast polypeptide backbone conformation sampler

David L. Wild, Alexei A. Podtelezhnikov, 2008, Source Code for Biology and Medicine.

Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements

Paul D. W. Kirk, David L. Wild, Emma J. Cooke, 2011, BMC Bioinformatics.

MDI-GPU: accelerating integrative modelling for genomic-scale data using GP-GPU computing

Paul D. W. Kirk, David L. Wild, Colin Starr, 2016, Statistical applications in genetics and molecular biology.

Discovering transcriptional modules by Bayesian data integration

Zoubin Ghahramani, Jim E. Griffin, David L. Wild, 2010, Bioinform..

An approach to pathway reconstruction using whole genome metabolic models and sensitive sequence searching

David A. Hodgson, Richard J. B. Dobson, David L. Wild, 2009, J. Integr. Bioinform..

Bringing numerous methods for expression and promoter analysis to a public cloud computing service

Bo Gao, Paul Brown, Sascha Ott, 2017, Bioinform..

Protein analyst - a distributed object environment for protein sequence and structure analysis

David L. Wild, Mansoor A. S. Saqi, M. J. Hartshorn, 1999, Bioinform..

Reconstructing Transcriptional Networks Using Gene Expression Profiling and Bayesian State-Space Models

Juan Li, Zoubin Ghahramani, Matthew J. Beal, 2007 .

Exploiting molecular dynamics in Nested Sampling simulations of small peptides

David L. Wild, Robert J. N. Baldock, Gábor Csányi, 2016, Comput. Phys. Commun..

Modeling T-cell activation using gene expression profiling and state-space models

Zoubin Ghahramani, Francesco Falciani, David L. Wild, 2004, Bioinform..

A Bayesian approach to reconstructing genetic regulatory networks with hidden factors

Zoubin Ghahramani, Matthew J. Beal, Francesco Falciani, 2005, Bioinform..

Modeling genetic regulatory networks using gene expression profiling and state space models

Zoubin Ghahramani, David L. Wild, John E. Angus, 2005 .

Inferring Transcriptional Networks Using Prior Biological Knowledge and Constrained State-Space Models

Juan Li, Matthew J. Beal, David L. Wild, 2010, Learning and Inference in Computational Systems Biology.

Efficient Parameter Estimation of Generalizable Coarse-Grained Protein Force Fields Using Contrastive Divergence: A Maximum Likelihood Approach

David L. Wild, Csilla Várnai, Nikolas S. Burkoff, 2013, Journal of chemical theory and computation.

Zoubin Ghahramani, Jim E. Griffin, Paul D. W. Kirk, 2012, Bioinform..

A graphical model for protein secondary structure prediction

Wei Chu, Zoubin Ghahramani, David L. Wild, 2004, ICML.

Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures

Carl E. Rasmussen, Zoubin Ghahramani, David L. Wild, 2009, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

particleMDI: A Julia Package for the Integrative Cluster Analysis of Multiple Datasets

Jim E. Griffin, Anthony Lee, David L. Wild, 2018, Springer Proceedings in Mathematics & Statistics.

Modelling biological responses using gene expression profiling and linear dynamical systems

Zoubin Ghahramani, Francesco Falciani, David L. Wild, 2001 .

Identifying cancer subtypes in glioblastoma by combining genomic, transcriptomic and epigenomic data

Zoubin Ghahramani, Jim E. Griffin, David L. Wild, 2013 .

Expectations from Structural Genomics Revisited

David L. Wild, Mansoor A. S. Saqi, 2005 .

Accelerating Bayesian Hierarchical Clustering of Time Series Data with a Randomised Algorithm

Zoubin Ghahramani, David L. Wild, Richard S. Savage, 2013, PloS one.